Knowledge Architecture:ConceptsObservationsEvidence

Representation Selection Elasticity (RSE)

RSE

Responsiveness of Selection Probability to Representation Quality Changes

Proposed hypothesis — not yet testedpublished

RSE measures selection responsiveness to representation quality.

July 12, 2026
Version 1.0
6 min read
By Marco Patrone
rseselection_elasticityrepresentation_qualityfinancial_bridge_metric

Definition

RSE measures how sensitive selection probability is to changes in representation quality. Higher RSE indicates greater marginal benefit from representation improvements.

RSE assesses how much selection probability changes for a given improvement in representation quality. Higher RSE indicates greater marginal benefit.

Conceptual Formula

RSE = (%Δ selection_probability) / (%Δ representation_quality).

Methodology

Type

index construction

Data Sources

syntheticselection tracking

Confidence Level

low

Description

RSE = (%Δ selection_probability) / (%Δ representation_quality).

Limitations

  • Elasticity estimation requires controlled variation
  • Selection probability attribution is complex

Key Takeaways

Key Points

  • RSE can be positive or negative
  • Higher indicates more responsive
  • Guides representation investment prioritization

Target Audience

firmsinfrastructure providers

Relevance Tags

rseselection_elasticityrepresentation_qualityfinancial_bridge_metric

Source Paper

The Zero-Click Economy

HomeSelf Research (2026)

View on Zenodo
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Citation

For the Representation Selection Elasticity (RSE), see HomeSelf Research (2026), The Zero-Click Economy.

DOI: 10.5281/zenodo.21321629

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